This repository contains the code to reproduce the results of the paper: "Outlier removal for improved source estimation in atmospheric inverse problems", By M. Martinez-Camara, A. Stohl and M. Vetterli, ICASSP 2014, Florence (Italy)
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README.md
RR_icassp_2014_fig2.m
RR_icassp_2014_fig3.m
RR_icassp_2014_fig5.m
RR_icassp_2014_fig6.m
solveInverse.m

README.md

RemovingOutliersWithModels

This repository contains the code to reproduce the results of the paper: ["Outlier removal for improved source estimation in atmospheric inverse problems", By M. Martinez-Camara, A. Stohl and M. Vetterli, ICASSP 2014, Florence (Italy)] (https://infoscience.epfl.ch/record/196471/files/06854921.pdf?version=1)

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Authors

Marta Martinez-Camara and Martin Vetterli are with the Laboratory for Audiovisual Communications (LCAV) at EPFL.

Andreas Stohl is with the Norwegian Institute for Air Research ([NILU] (http://folk.nilu.no/~andreas/)).

Contact

Marta Martinez-Camara
EPFL-IC-LCAV
BC Building
Station 14
1015 Lausanne

Generate the figures in the paper

To generate the results showed in the figures 2, 3 and 5, run the following Matlab scripts:

RR_icassp_2014_fig2.m
RR_icassp_2014_fig3.m
RR_icassp_2014_fig5.m

To run them, you need the CVX package.

License

Copyright (c) 2014, Marta Martinez-Camara, Andreas Stohl, Martin Vetterli

This code is free to reuse for non-commercial purpose such as academic or educational. For any other use, please contact the authors.

Creative Commons License
Outlier removal for improved source estimation in atmospheric inverse problems by Marta Martinez-Camara, Andreas Stohl, Martin Vetterli is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://github.com/LCAV/RegularizedTauEstimator.